Skip to main content
15 events
when toggle format what by license comment
Feb 12, 2016 at 22:46 history closed MarcoB
user9660
Dr. belisarius
Mr.Wizard plotting
Duplicate of Plot showing discontinuity where it shouldn't
Feb 12, 2016 at 13:50 answer added rhermans timeline score: 0
Feb 12, 2016 at 2:39 vote accept George Rutherford
Feb 11, 2016 at 23:53 history edited J. M.'s missing motivation
edited tags
Feb 11, 2016 at 23:40 history edited m_goldberg CC BY-SA 3.0
Routine clean-up
Feb 11, 2016 at 23:37 answer added m_goldberg timeline score: 5
Feb 11, 2016 at 18:31 review Close votes
Feb 12, 2016 at 22:46
Jan 27, 2016 at 23:38 comment added MarcoB Yet another option would be to use DiscretePlot with your CDF; DiscretePlot[CDF[HistogramDistribution[data, 20], x], {x, 0, 400}, Filling -> None, Joined -> True] generates this plot. As an aside, your data can be more efficiently generated using: data = RandomReal[{0, 400}, 200].
Jan 25, 2016 at 10:03 history tweeted twitter.com/StackMma/status/691562115686080512
Jan 25, 2016 at 7:32 comment added JimB If your real data displays near zero values for the histogram in the extremes of the data (as opposed to data from distributions like a uniform where the density is very non-negative at the boundaries), you might consider using SmoothKernelDistribution instead. This gives you a smooth curve for the density rather than a bumpy histogram. You can use PDF and CDF with the object produced by SmoothKernelDistribution just like HistogramDistribution.
Jan 25, 2016 at 4:48 comment added Brett Champion @bills Exclusions -> None is the better approach in this case.
Jan 25, 2016 at 3:36 history edited MarcoB CC BY-SA 3.0
Formatted code, added plotting tag, since the problem is really in the plotting and not in the calculation
Jan 25, 2016 at 3:25 comment added bill s Add PlotPoints -> 500 to your final Plot command.
Jan 25, 2016 at 2:26 review First posts
Jan 25, 2016 at 2:34
Jan 25, 2016 at 2:21 history asked George Rutherford CC BY-SA 3.0